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This accessible text prepares students to understand and work with geographic information systems (GIS), offering a detailed introduction to essential theories, concepts, and skills. The book is organized in four modular parts that can be used in any sequence in entry-level and more specialized courses. Basic cartographic principles are integrated with up-to-date discussions of GIS technologies and applications. Coverage includes everything from what geographic information is to its many uses and societal implications. Practical examples and exercises invite readers to explore the choices involved in producing reliable maps and other forms of geographic information. Illustrations include 170 figures (with 15 in color). The companion website provides links to Web resources for each chapter, plus downloadable PowerPoint slides of most of the figures. New to This Edition: Chapter on online mapping and Big Data; New and updated discussions of remote sensing, vector and raster data models, location privacy, uses of geocoding, and other timely topics; Chapter on the many uses of GIS, such as in market analyses, emergency responding, and tracking of epidemics; Section overviews and an end-of-book glossary. Pedagogical Features: Modules and individual chapters can be used sequentially or in any order; End-of-chapter review questions with answers, exercises, and extended exercises for applying theories and concepts; "In-Depth" sidebars offering a closer look at key concepts and applications; End-of-chapter links to relevant Web resources.

Geographic information systems. --- Cartography.

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This volume includes top papers from the 2014 International Symposium on Spatial Data Handling and covers Web and Crowd-sourcing GI, Network Analysis, Spatial Modelling and Reasoning, and Statistical and Spatial Analysis. The Symposium is the premier long-running forum in geographical information science, providing a prestigious outlet to geographers, cartographers, computer scientists and others in this rapidly developing multidisciplinary area.

Geography. --- Remote Sensing/Photogrammetry. --- Special Purpose and Application-Based Systems. --- Simulation and Modeling. --- Urban Geography / Urbanism (inc. megacities, cities, towns). --- Remote sensing. --- Software engineering. --- Computer simulation. --- Géographie --- Télédétection --- Génie logiciel --- Simulation par ordinateur --- Geographic information systems -- Data processing. --- Geographic information systems -- Research. --- Geographic information systems --- Data processing. --- Research. --- Geographical information systems --- GIS (Information systems) --- Special purpose computers. --- Urban geography. --- Information storage and retrieval systems --- Geography --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Computer software engineering --- Engineering --- Special purpose computers --- Computers --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics

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Geographic information systems. --- Cartography. --- Système d'information géographique. --- Cartographie.

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This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications. Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.

Geodesy. Cartography --- Geology. Earth sciences --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Geography --- gegevensopslag --- geodesie --- GIS (geografisch informatiesysteem) --- datamining --- big data --- computers --- geografie --- computerkunde --- data acquisition